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Python & Excel: Easily migrate spreadsheets to a database
Type:
Other > Other
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4
Size:
479.27 MiB (502549755 Bytes)
Uploaded:
2018-05-17 18:28:05 GMT
By:
tuts756
Seeders:
4
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0
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Info Hash:
A41C431A90A7D85F27DCFD890A2E9E668061839A




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Description

I’m still adding content. For the next sections I really would like your help, so that I can help you out with problems regarding the topic of this course. Please spam me with messages about this. First I’ll add a video about re-structuring the code of section 3, so that it will be re-usable. The next section I’ll add is a quick Python refresher. Including some build-in functions (like enumerate(), all(), any()), lists and dictionaries, for-loops, function, classes, etc.
    The first section of this course is a basic introduction to
    openpyxl: the ideas behind reading and writing data from and to Excel.
    In the second section we will see how to read from multiple Excel
    documents and save them to a database. The database could be any relational database, but for this section we will use SQLite, as it’s fast to setup and easy to use.
    The third section is a more advanced case, where we will learn how to deal with a more ‘messy’ Excel document and with a more complex database structure using a foreign key.
    For the next sections, I like to hear from you what you would like! At the moment I’m first thinking of some other kind of databases, like MySQL and PostgreSQL. But let me know

Who is the target audience?
    Those who want to parse or create Excel documents with Python
    Those who need to migrate their Excel documents to a database

Requirements
    You should know the basics of Python
    You should know what a Excel document is
    You should know the concept of a database

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Python & Excel Easily migrate spreadsheets to a database.zip479.27 MiB